Best 902 quotes in «data quotes» category

And many of the alarmists on global warming, they've got a problem cause the science doesn't back them up. And in particular, satellite data demonstrate for the last 17 years, there's been zero warming. None whatsoever.

And what is the primary datum? It's the felt presence of immediate experience. In other words, being here now is the primary datum.

An engineer can look at the data, but he needs a translator from the cockpit - the driver - to understand it completely. For example, only the driver can tell you why he abruptly takes his foot off the gas pedal at a certain point. The data doesn't necessarily tell the engineer whether the driver made a mistake at that point or the car was acting up. The information the driver provides often helps determine the direction of development.

Anecdotal data is not incidental to theory development at all, but an essential part of it.

An mp3 is a compressed form of data. It's not the full spectrum. It's never going to sound as good as a record.

Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.

And this exclusion of "women's work" continues, despite United Nations data gathered since 1975 (the beginning of the UN Decade for Women) indicating that women globally contribute two-thirds of the world's work hours, for which - given the imbalanced, unjust, and truly peculiar nature of the accounting characteristic of dominator economics - they globally earn only one-tenth of what men do and own a mere one-hundredth of the world's property.

And there is a lot of idiosyncrasy. But there are also regularities and phenomena. And what the data is going to be able to do - if there's enough of it - is uncover, in the mess and the noise of the world, some lines of music that actually have harmony. It's there, somewhere.

A problem of statistical inference or, more simply, a statistics problem is a problem in which data that have been generated in accordance with some unknown probability distribution must be analyzed and some type of inference about the unknown distribution must be made.

And somehow mother nature manages to create this incredible biosphere, to create this incredibly rich environment of animals and plants with this amazingly small amount of data.

Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.

A person who is gifted sees the essential point and leaves the rest as surplus.

Apple and Google will compete like crazy for our data because once they have it we'll be their customers forever.

A rare book at once of great importance and wonderful to read.... Gould presents a fascinating historical study of scientific racism, tracing it through monogeny and polygeny, phrenology , recapitulation, and hereditarian IQ theory. He stops at each point to illustrate both the logical inconsistencies of the theories and the prejudicially motivated, albeit unintentional, misuse of data in each case.... A major addition to the scientific literature.

A procession of the damned. By the damned, I mean the excluded. We shall have a procession of data that Science has excluded.

A proper record shop reminds us why we got into this in the first place - a place to be reminded of old friends, still in their spots on the shelves, a source of unexpected magic and lucid memories - a place that reminds us that music is more than dumb file sharing and the management of dead data by faceless sociopathic corporations, but a storehouse of dreams, both possible and impossible.

As a geologist, I love Earth observations, but it is ridiculous to tie this objective to a 'consensus' that humans are causing global warming when human experience, geologic data and history, and current cooling can argue otherwise. 'Consensus,' as many have said, merely represents the absence of definitive science. You know as well as I, the 'global warming scare' is being used as a political tool to increase government control over American lives, incomes and decision making.

Artists will come into my office and say, "I just came from another label and they said you're research guys, you're data guys." I don't know what that means. Everybody who says that is being naive.

As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies.

as an economics professor I am by nature inclined to the view that the truth isn't out there, it's in here - that usually you learn a lot more by thinking really hard about the data than you do by sniffing around for supposedly inside information.

As a matter of fact, when compression technology came along, we thought the future in 1996 was about voice. We got it wrong. It is about voice, video, and data, and that is what we have today on these cell phones.

As a medical doctor, it is my duty to evaluate the situation with as much data as I can gather and as much expertise as I have and as much experience as I have to determine whether or not the wish of the patient is medically justified.

As a senator, I raised the alarm about sub prime mortgages. I fought to hold reckless manufacturers accountable for toxic toys and household products that threaten our kids. I introduced legislation to protect Americans' personal data and combat identity theft. So as president, I will make consumer protection a top priority across the entire government.

As befits Silicon Valley, 'big data' is mostly big hype, but there is one possibility with genuine potential: that it might one day bring loans - and credit histories - to millions of people who currently lack access to them.

As a physician, I understand how important it is to collect data on people so we can understand what's happening with them. I will be in the position to help enable that knowledge.

As a physician I have sympathy for patients suffering from pain and other medical conditions. Although I understand many believe marijuana is the most effective drug in combating their medical ailments, I would caution against this assumption due to the lack of consistent, repeatable scientific data available to prove marijuana's benefits. Based on current evidence, I believe that marijuana is a dangerous drug and that there are less dangerous medicines offering the same relief from pain and other medical symptoms.

As somebody who's kind of a technophile, I'm interested in how traditional and digital publishing connect. Maybe ten years ago they were seen as antagonists, but now they complement each other. There's data that shows digital sales actually drive print sales. And even the ways in which pictures and words, text and image, interact - we're seeing these books that are very hard to categorize. All of that is very exciting to me.

As soon as science has emerged from its initial stages, theoretical advances are no longer achieved merely by a process of arrangement. Guided by empirical data, the investigator rather develops a system of thought which, in general, is built up logically from a small number of fundamental assumptions, the so-called axioms. We call such a system of thought a theory. The theory finds the justification for its existence in the fact that it correlates a large number of single observations, and it is just here that the 'truth' of the theory lies.

As the amount of inputs go up, as the number of people and ideas that clamor for attention continue to increase, we do what people always do: we rely on the familiar, the trusted and the personal. The incredible surplus of digital data means that human actions, generosity and sacrifice are more important than they ever were before.

As I noted in my article "Comparing LTO-6 to Scale-Out Storage for Long-Term Retention," in these situations tape is an ideal storage type. Data on tape can still be automatically scanned for durability and it certainly meets the cost-effectiveness requirements.

As the data from the past decade clarify, there is no evidence that poverty causes crime but a great deal of evidence that crime causes poverty. By aligning themselves against the police, against commonsense tactics like stop and frisk, against metal detectors in public housing, against swift and certain punishment, and for a broad array of legal protections for accused criminals, liberals helped to aggrieve the lives of the poor and society as a whole.

A technology becomes truly disruptive when it drives the marginal cost of something that used to be scarce and expensive to approach zero. Thus, it used to be to deploy software at scale, you had to fund a data center, buy a set of servers, storage, and networking gear, build an in-house IT management capability, and buy an expensive stack of enabling software before you could even get started. Now you can get all that from Amazon or Microsoft on a pay-as-you-grow model.

A ten per cent reduction in military expenditures per year would be reasonable, coupled with a programme of retraining the workforce and redirecting the resources in a manner that creates employment and advances social welfare. I also encourage all States to contribute to the UN's annual Report on Military Expenditures by submitting complete data on national defence budgets.

At root what is needed for scientific inquiry is just receptivity to data, skill in reasoning, and yearning for truth. Admittedly, ingenuity can help too.

Attempts have been made from a study of the changes produced by mutation to obtain the relative order of the bases within various triplets, but my own view is that these are premature until there is more extensive and more reliable data on the composition of the triplets.

A very good friend of mine spent a fair amount of time doing postmortems and met with a number of the senior folks on the Romney campaign and they spent, what was it, $140, $160 million on data. And this friend of mine, who is a very sharp thinker, asked a series of questions, but the most important one he asked, he said, "What decisions did you make differently because of the data?" And he's coming from the private equity world where he wants to know, OK, and the answer from virtually every single senior Romney person was "nothing.

Autobiography. Apparently one should not name the names of those one has been to bed with, or give explicit figures on the amount of money one has earned, those being the two data most eagerly sought by readers; all the rest is legitimate to reveal.

Averages ... seduce us away from minute observation.

A very small group of powerful people is deciding what's going to happen with your data, and they're using bots to help implement what they want to do. That has nothing to do with democracy. It's all about efficiency. And that's the really scary thing about it.

...a vocal minority of scientists so mistrusts the models and the complex fragmentary data, that some claim that global warming is a hoax. They have made public statements accusing other scientists of deliberate fraud in aid of their research funding. Both sides are now hurling personal epithets at each other, a very bad development in Earth sciences.

Bad programmers worry about the code. Good programmers worry about data structures and their relationships.

Because we're always more woundable when caught at exactly the time where we're in the mood for that particular product or service - and as Big Data increasingly are able to pick up on clues revealing desire - automated systems are increasingly able to hit at exactly those moments, across those channels we move - with an offer matching exactly what we're desiring.

Before anything can be reasoned upon to a conclusion, certain facts, principles, or data, to reason from, must be established, admitted, or denied.

Belief Systems contradict both science and ordinary "common sense." B.S. contradicts science, because it claims certitude and science can never achieve certitude: it can only say, "This model"- or theory, or interpretation of the data- "fits more of the facts known at this date than any rival model." We can never know if the model will fit the facts that might come to light in the next millennium or even in the next week.

A scientist naturally and inevitably ... mulls over the data and guesses at a solution. He proceeds to testing of the guess by new data-predicting the consequences of the guess and then dispassionately inquiring whether or not the predictions are verified.

A theory with mathematical beauty is more likely to be correct than an ugly one that fits some experimental data.

A theory is only as good as its assumptions. If the premises are false, the theory has no real scientific value. The only scientific criterion for judging the validity of a scientific theory is a confrontation with the data of experience.

Beware of the problem of testing too many hypotheses; the more you torture the data, the more likely they are to confess, but confessions obtained under duress may not be admissible in the court of scientific opinion.

Big data isn’t about bits, it’s about talent.

Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming.